Page 448 - Most-Essential-Learning-Competencies-Matrix-LATEST-EDITION-FROM-BCD
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Quarter Content Standards Performance Standards Most Essential Learning competencies Duration
The learner demonstrates The learner is able to… The learner…
understanding of…
calculates the mean and the variance of a discrete
random variable.
interprets the mean and the variance of a discrete Week 3
random variable.
solves problems involving mean and variance of
probability distributions.
The learner demonstrates The learner is able to accurately illustrates a normal random variable and its
understanding of formulate and solve real-life problems characteristics.
key concepts of normal in different disciplines identifies regions under the normal curve Week 4
probability distribution. involving normal distribution. corresponding to different standard normal
values.
converts a normal random variable to a standard
normal variable and vice versa.
computes probabilities and percentiles using the
standard normal table.
The learner demonstrates The learner is able to apply suitable illustrates random sampling. Week 5
understanding of key concepts of sampling and sampling distributions of distinguishes between parameter and statistic.
sampling and sampling the sample mean to solve real-life identifies sampling distributions of statistics
distributions of the sample mean. problems in different disciplines. (sample mean).
finds the mean and variance of the sampling Week 6
distribution of the sample mean.
defines the sampling distribution of the sample
mean for normal population when the variance is:
(a) known; (b) unknown
illustrates the Central Limit Theorem. Week 7
defines the sampling distribution of the sample to 8
mean using the Central Limit Theorem.
solves problems involving sampling distributions of
the sample mean.
illustrates the t-distribution. Week 9
